DocumentCode
1725228
Title
Gray modeling and tendency studying of Track and Field achievements of Olympics based on grey prediction theory
Author
Huang Chang-mei ; Shen Wei-hua ; Xiao Xiao-cong
Author_Institution
Inst. of Phys. Educ., Hunan Univ. of Sci. & Technol., Xiang tan, China
fYear
2011
Firstpage
419
Lastpage
425
Abstract
According to at the top three Olympic track and field sports performance, a GM (1,1) gray prediction model group is established combining with gray modeling methods, whose residual model test results shows that the forecasting model group has a high-precision. Additionally, this paper deeply analyzes the top three achievements´ trend of the 26th to the 29th Olympic Games Track and Field. Finally, the 30th London Olympic track and field results are predicted to serve the departments related to the preparing work for the next Olympic Games and to provide the theoretical basis and reference for decision-making.
Keywords
decision making; forecasting theory; grey systems; sport; Olympics; decision making; forecasting model; gray modeling; gray prediction model; grey prediction theory; track and field achievements; track and field sports performance; Decision making; Legged locomotion; Materials; Prediction theory; Relays; Olympics; grey prediction; tendency analysis; top three achievements; track and field events;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-61284-490-9
Type
conf
DOI
10.1109/GSIS.2011.6044009
Filename
6044009
Link To Document